done
This commit is contained in:
parent
bd2e2b0c60
commit
9d7f61ad25
@ -3,7 +3,8 @@ aws_access_key_id=''
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aws_secret_access_key=''
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aws_session_token=''
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VPC=''
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ID='444376'
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ID=''
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# biblioteka dostępowa do AWS
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import boto3
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@ -25,8 +26,8 @@ key_pair = ec2_resource.create_key_pair(
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)
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security_group = ec2_resource.create_security_group(
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Description=ID+'_SECURITY_GROUP',
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GroupName=ID+'_SECURITY_GROUP',
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Description=ID+'-SECURITY-GROUP',
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GroupName=ID+'-SECURITY-GROUP',
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VpcId=VPC
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)
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@ -49,11 +50,12 @@ instance_1, instance_2 = ec2_resource.create_instances(
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sudo yum update -y
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sudo yum install git -y
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git clone https://git.wmi.amu.edu.pl/s444376/DPZC_Ola.git
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cd DPZC_Ola/Zadanie_4_3_b
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sudo yum install docker -y
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sudo service docker start
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sudo usermod -a -G docker ec2-user
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docker build -t webservice .
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docker run -d -p 80:8080 -t webservice
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sudo docker build -t webservice .
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sudo docker run -d -p 80:8080 -t webservice
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''',
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SecurityGroups=[security_group.group_name]
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)
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@ -65,75 +67,72 @@ while True:
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if instance_1.state['Code'] == 16 and instance_2.state['Code'] == 16:
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break
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elbv2 = boto3.client(
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'elbv2',
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region_name='us-east-1',
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_session_token=aws_session_token,
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)
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elbv2 = boto3.client(
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'elbv2',
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region_name='us-east-1',
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_session_token=aws_session_token
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)
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target_group = elbv2.create_target_group(
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Name=ID+'_TARGET_GROUP',
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Protocol='TCP',
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Port=80,
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VpcId=VPC,
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TargetType='instance',
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IpAddressType='ipv4',
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)
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target_group = elbv2.create_target_group(
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Name=ID+'-TARGET-GROUP',
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Protocol='TCP',
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Port=80,
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VpcId=VPC,
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TargetType='instance',
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IpAddressType='ipv4'
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)
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register_targets = elbv2.register_targets(
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TargetGroupArn=target_group['TargetGroups'][0]['TargetGroupArn'],
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Targets=[
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{
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'Id': instance_1.id,
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'Port': 80,
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},
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{
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'Id': instance_2.id,
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'Port': 80,
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},
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]
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)
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register_targets = elbv2.register_targets(
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TargetGroupArn=target_group['TargetGroups'][0]['TargetGroupArn'],
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Targets=[
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{
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'Id': instance_1.id,
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'Port': 80,
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},
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{
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'Id': instance_2.id,
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'Port': 80,
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}
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])
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ec2_client = boto3.client(
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'ec2',
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region_name='us-east-1',
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_session_token=aws_session_token,
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)
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ec2_client = boto3.client(
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'ec2',
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region_name='us-east-1',
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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aws_session_token=aws_session_token
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)
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allocation = ec2_client.allocate_address(
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Domain='vpc'
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)
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allocation = ec2_client.allocate_address(
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Domain='vpc'
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)
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load_balancer = elbv2.create_load_balancer(
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Name=ID+'_LOAD_BALANCER',
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SubnetMappings=[
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{
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'SubnetId': instance_1.subnet_id,
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'AllocationId': allocation['AllocationId'],
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},
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],
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Scheme='internet-facing',
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Type='network',
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IpAddressType='ipv4',
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)
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load_balancer = elbv2.create_load_balancer(
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Name=ID+'-LOAD-BALANCER',
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SubnetMappings=[
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{
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'SubnetId': instance_1.subnet_id,
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'AllocationId': allocation['AllocationId']
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}],
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Scheme='internet-facing',
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Type='network',
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IpAddressType='ipv4',
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)
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listener = elbv2.create_listener(
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LoadBalancerArn=load_balancer['LoadBalancers'][0]['LoadBalancerArn'],
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Protocol='TCP',
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Port=80,
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DefaultActions=[
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{
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'Type': 'forward',
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'TargetGroupArn': target_group['TargetGroups'][0]['TargetGroupArn'],
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},
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],
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)
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listener = elbv2.create_listener(
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LoadBalancerArn=load_balancer['LoadBalancers'][0]['LoadBalancerArn'],
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Protocol='TCP',
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Port=80,
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DefaultActions=[
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{
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'Type': 'forward',
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'TargetGroupArn': target_group['TargetGroups'][0]['TargetGroupArn'],
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}
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])
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print(f'Done: {allocation["PublicIp"]}:80')
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print(f'Done: {allocation["PublicIp"]}:80')
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'''
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#Stopping and terminating multiple instances given a list of instance IDs uses Boto3 collection filtering:
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141
Zadanie_4_3_b/check.py
Normal file
141
Zadanie_4_3_b/check.py
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@ -0,0 +1,141 @@
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import requests
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import random
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import math
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import time
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import threading
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import logging
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logging.getLogger().setLevel(logging.INFO)
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API_URL="http://34.230.97.151:80"
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UNIT = 5.0 # secs
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# Pre generated primes
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first_primes_list = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29,
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31, 37, 41, 43, 47, 53, 59, 61, 67,
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71, 73, 79, 83, 89, 97, 101, 103,
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107, 109, 113, 127, 131, 137, 139,
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149, 151, 157, 163, 167, 173, 179,
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181, 191, 193, 197, 199, 211, 223,
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227, 229, 233, 239, 241, 251, 257,
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263, 269, 271, 277, 281, 283, 293,
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307, 311, 313, 317, 331, 337, 347, 349]
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def nBitRandom(n):
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return random.randrange(2**(n-1)+1, 2**n - 1)
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def getLowLevelPrime(n):
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'''Generate a prime candidate divisible
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by first primes'''
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while True:
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# Obtain a random number
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pc = nBitRandom(n)
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# Test divisibility by pre-generated
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# primes
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for divisor in first_primes_list:
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if pc % divisor == 0 and divisor**2 <= pc:
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break
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else: return pc
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def isMillerRabinPassed(mrc):
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'''Run 20 iterations of Rabin Miller Primality test'''
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maxDivisionsByTwo = 0
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ec = mrc-1
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while ec % 2 == 0:
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ec >>= 1
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maxDivisionsByTwo += 1
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assert(2**maxDivisionsByTwo * ec == mrc-1)
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def trialComposite(round_tester):
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if pow(round_tester, ec, mrc) == 1:
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return False
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for i in range(maxDivisionsByTwo):
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if pow(round_tester, 2**i * ec, mrc) == mrc-1:
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return False
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return True
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# Set number of trials here
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numberOfRabinTrials = 20
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for i in range(numberOfRabinTrials):
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round_tester = random.randrange(2, mrc)
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if trialComposite(round_tester):
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return False
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return True
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def random_large_prime(bits):
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while True:
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prime_candidate = getLowLevelPrime(bits)
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if not isMillerRabinPassed(prime_candidate):
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continue
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else:
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return prime_candidate
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def thread_function(i, fast, timeout):
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start = time.time()
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c = 5 # bits: 20: 200ms; 21: 350ms; 22: 700ms 23: 1.5s; 25: 6s; 26: 10s; 27: 24s
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bits = 19 if fast else 23
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last_report = time.time()
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processing_time = 0.0
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reqs = 0
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while True:
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iter_start = time.time()
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if iter_start - start > timeout:
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logging.info("Thread: %d\treqs: %d\tmean time: %.3fs\t%s"%(i, reqs, processing_time/reqs if reqs>0 else 0.0, "fast\t" if fast else ""))
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results[i][iter_start] = processing_time/reqs if reqs>0 else 0.0
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return
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if iter_start - last_report > UNIT/2:
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if len(results[i])%2 == 0:
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logging.info("Thread: %d\treqs: %d\tmean time: %.3fs\t%s"%(i, reqs, processing_time/reqs if reqs>0 else 0.0, "fast\t" if fast else ""))
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results[i][iter_start] = processing_time/reqs if reqs>0 else 0.0
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processing_time = 0.0
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reqs = 0
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last_report=iter_start
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factors = [random_large_prime(bits) for i in range(c)]
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factors.sort()
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n=math.prod(factors)
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r = requests.get(API_URL+'/factors/%d'%(n))
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if r.status_code != 200:
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logging.error("wrong status code from webservice")
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else:
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result = r.json()
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if result != factors:
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logging.error("Wrong factors")
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processing_time+=time.time() - iter_start
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reqs+=1
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time.sleep(0.5)
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START = time.time()
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slow_threads = 4
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results = [ {} for i in range(slow_threads+1)]
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t0 = threading.Thread(target=thread_function, args=(0, True, (5 + slow_threads*3) * UNIT))
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t0.start()
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time.sleep(2 * UNIT)
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for i in range(slow_threads):
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t = threading.Thread(target=thread_function, args=(i+1, False, (slow_threads-i) * 3 * UNIT))
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t.start()
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time.sleep(2 * UNIT)
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t0.join()
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import numpy as np
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import matplotlib.pyplot as plt
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import scipy.stats as stats
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mu = 0
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std = 1
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for i, result in enumerate(results):
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x = [(x - START)/UNIT for x in result.keys()]
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y = result.values()
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plt.plot(x, y, label="t%d"%(i,))
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plt.legend()
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plt.show()
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